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A toolkit to help understand models and enable responsible machine learning.
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Notebooks and code for the book "Introduction to Machine Learning with Python".
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Autograd and XLA for high-performance machine learning research.
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A python library for doing approximate and phonetic matching of strings.
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A project to make it easier to use large external knowledge bases with LLMs.
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Chinese Words Segmentation Utilities.
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Chinese Words Segmentation Utilities.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
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Jupyter notebook is a web-based notebook environment for interactive computing.
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A collection of pre-trained StyleGAN 2 models to download.
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Code for the Kaggle acquire valued shoppers challenge.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Winning solution for the Galaxy Challenge on Kaggle.
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A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
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An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
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Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Run Keras models in the browser, with GPU support provided by WebGL 2.